{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Experiemtne with HYCOM netcdf opening" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import netCDF4 as nc\n", "import matplotlib.pyplot as plt \n", "import datetime\n", "import numpy as np\n", "\n", "from salishsea_tools.nowcast import figures, residuals\n", "from salishsea_tools import viz_tools\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "date = '20150730'\n", "url = ('http://nomads.ncep.noaa.gov:9090/dods/rtofs/rtofs_global{}/rtofs_glo_2ds_forecast_3hrly_diag'.format(date))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "f = nc.Dataset(url)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "ssh=f.variables['ssh']\n", "time = f.variables['time']\n", "dates=nc.num2date(time[:],time.units)\n", "lon=f.variables['lon']" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "root group (NETCDF3_CLASSIC data model, file format UNDEFINED):\n", " title: 2D Sfc 3 Hourly Diagnostic 00Z30jul2015: Forecast, downloaded Jul 30 16:15 UTC\n", " Conventions: COARDS\n", "GrADS\n", " dataType: Grid\n", " history: Fri Jul 31 20:27:03 UTC 2015 : imported by GrADS Data Server 2.0\n", " dimensions(sizes): lat(2160), lev(1), lon(4320), time(65)\n", " variables(dimensions): float64 \u001b[4mtime\u001b[0m(time), float64 \u001b[4mlev\u001b[0m(lev), float64 \u001b[4mlat\u001b[0m(lat), float64 \u001b[4mlon\u001b[0m(lon), float32 \u001b[4mssh\u001b[0m(time,lev,lat,lon), float32 \u001b[4mice_coverage\u001b[0m(time,lev,lat,lon), float32 \u001b[4mice_thickness\u001b[0m(time,lev,lat,lon)\n", " groups: " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "float64 lon(lon)\n", " grads_dim: x\n", " grads_mapping: linear\n", " grads_size: 4320\n", " units: degrees_east\n", " long_name: longitude\n", " minimum: 74.16\n", " maximum: 434.06227\n", " resolution: 0.08333\n", "unlimited dimensions: \n", "current shape = (4320,)\n", "filling off" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lon" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([datetime.datetime(2015, 7, 30, 0, 0),\n", " datetime.datetime(2015, 7, 30, 3, 0),\n", " datetime.datetime(2015, 7, 30, 6, 0),\n", " datetime.datetime(2015, 7, 30, 9, 0),\n", " datetime.datetime(2015, 7, 30, 12, 0),\n", " datetime.datetime(2015, 7, 30, 15, 0),\n", " datetime.datetime(2015, 7, 30, 18, 0),\n", " datetime.datetime(2015, 7, 30, 21, 0),\n", " datetime.datetime(2015, 7, 31, 0, 0),\n", " datetime.datetime(2015, 7, 31, 3, 0),\n", " datetime.datetime(2015, 7, 31, 6, 0),\n", " datetime.datetime(2015, 7, 31, 9, 0),\n", " datetime.datetime(2015, 7, 31, 12, 0),\n", " datetime.datetime(2015, 7, 31, 15, 0),\n", " datetime.datetime(2015, 7, 31, 18, 0),\n", " datetime.datetime(2015, 7, 31, 21, 0),\n", " datetime.datetime(2015, 8, 1, 0, 0),\n", " datetime.datetime(2015, 8, 1, 3, 0),\n", " datetime.datetime(2015, 8, 1, 6, 0),\n", " datetime.datetime(2015, 8, 1, 9, 0),\n", " datetime.datetime(2015, 8, 1, 12, 0),\n", " datetime.datetime(2015, 8, 1, 15, 0),\n", " datetime.datetime(2015, 8, 1, 18, 0),\n", " datetime.datetime(2015, 8, 1, 21, 0),\n", " datetime.datetime(2015, 8, 2, 0, 0),\n", " datetime.datetime(2015, 8, 2, 3, 0),\n", " datetime.datetime(2015, 8, 2, 6, 0),\n", " datetime.datetime(2015, 8, 2, 9, 0),\n", " datetime.datetime(2015, 8, 2, 12, 0),\n", " datetime.datetime(2015, 8, 2, 15, 0),\n", " datetime.datetime(2015, 8, 2, 18, 0),\n", " datetime.datetime(2015, 8, 2, 21, 0),\n", " datetime.datetime(2015, 8, 3, 0, 0),\n", " datetime.datetime(2015, 8, 3, 3, 0),\n", " datetime.datetime(2015, 8, 3, 6, 0),\n", " datetime.datetime(2015, 8, 3, 9, 0),\n", " datetime.datetime(2015, 8, 3, 12, 0),\n", " datetime.datetime(2015, 8, 3, 15, 0),\n", " datetime.datetime(2015, 8, 3, 18, 0),\n", " datetime.datetime(2015, 8, 3, 21, 0),\n", " datetime.datetime(2015, 8, 4, 0, 0),\n", " datetime.datetime(2015, 8, 4, 3, 0),\n", " datetime.datetime(2015, 8, 4, 6, 0),\n", " datetime.datetime(2015, 8, 4, 9, 0),\n", " datetime.datetime(2015, 8, 4, 12, 0),\n", " datetime.datetime(2015, 8, 4, 15, 0),\n", " datetime.datetime(2015, 8, 4, 18, 0),\n", " datetime.datetime(2015, 8, 4, 21, 0),\n", " datetime.datetime(2015, 8, 5, 0, 0),\n", " datetime.datetime(2015, 8, 5, 3, 0),\n", " datetime.datetime(2015, 8, 5, 6, 0),\n", " datetime.datetime(2015, 8, 5, 9, 0),\n", " datetime.datetime(2015, 8, 5, 12, 0),\n", " datetime.datetime(2015, 8, 5, 15, 0),\n", " datetime.datetime(2015, 8, 5, 18, 0),\n", " datetime.datetime(2015, 8, 5, 21, 0),\n", " datetime.datetime(2015, 8, 6, 0, 0),\n", " datetime.datetime(2015, 8, 6, 3, 0),\n", " datetime.datetime(2015, 8, 6, 6, 0),\n", " datetime.datetime(2015, 8, 6, 9, 0),\n", " datetime.datetime(2015, 8, 6, 12, 0),\n", " datetime.datetime(2015, 8, 6, 15, 0),\n", " datetime.datetime(2015, 8, 6, 18, 0),\n", " datetime.datetime(2015, 8, 6, 21, 0),\n", " datetime.datetime(2015, 8, 7, 0, 0)], dtype=object)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dates" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "float64 time(time)\n", " grads_dim: t\n", " grads_mapping: linear\n", " grads_size: 65\n", " grads_min: 00z30jul2015\n", " grads_step: 3hr\n", " units: days since 1-1-1 00:00:0.0\n", " long_name: time\n", " minimum: 00z30jul2015\n", " maximum: 00z07aug2015\n", " resolution: 0.125\n", "unlimited dimensions: \n", "current shape = (65,)\n", "filling off\n", "\n" ] } ], "source": [ "print time" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 735810. 735810.125 735810.25 735810.375 735810.5 735810.625\n", " 735810.75 735810.875 735811. 735811.125 735811.25 735811.375\n", " 735811.5 735811.625 735811.75 735811.875 735812. 735812.125\n", " 735812.25 735812.375 735812.5 735812.625 735812.75 735812.875\n", " 735813. 735813.125 735813.25 735813.375 735813.5 735813.625\n", " 735813.75 735813.875 735814. 735814.125 735814.25 735814.375\n", " 735814.5 735814.625 735814.75 735814.875 735815. 735815.125\n", " 735815.25 735815.375 735815.5 735815.625 735815.75 735815.875\n", " 735816. 735816.125 735816.25 735816.375 735816.5 735816.625\n", " 735816.75 735816.875 735817. 735817.125 735817.25 735817.375\n", " 735817.5 735817.625 735817.75 735817.875 735818. ]\n" ] } ], "source": [ "print time[:]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "start = datetime.datetime(1,1,1)\n", "dates2 = [start + datetime.timedelta(days = t) for t in time]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[datetime.datetime(2015, 8, 1, 0, 0),\n", " datetime.datetime(2015, 8, 1, 3, 0),\n", " datetime.datetime(2015, 8, 1, 6, 0),\n", " datetime.datetime(2015, 8, 1, 9, 0),\n", " datetime.datetime(2015, 8, 1, 12, 0),\n", " datetime.datetime(2015, 8, 1, 15, 0),\n", " datetime.datetime(2015, 8, 1, 18, 0),\n", " datetime.datetime(2015, 8, 1, 21, 0),\n", " datetime.datetime(2015, 8, 2, 0, 0),\n", " datetime.datetime(2015, 8, 2, 3, 0),\n", " datetime.datetime(2015, 8, 2, 6, 0),\n", " datetime.datetime(2015, 8, 2, 9, 0),\n", " datetime.datetime(2015, 8, 2, 12, 0),\n", " datetime.datetime(2015, 8, 2, 15, 0),\n", " datetime.datetime(2015, 8, 2, 18, 0),\n", " datetime.datetime(2015, 8, 2, 21, 0),\n", " datetime.datetime(2015, 8, 3, 0, 0),\n", " datetime.datetime(2015, 8, 3, 3, 0),\n", " datetime.datetime(2015, 8, 3, 6, 0),\n", " datetime.datetime(2015, 8, 3, 9, 0),\n", " datetime.datetime(2015, 8, 3, 12, 0),\n", " datetime.datetime(2015, 8, 3, 15, 0),\n", " datetime.datetime(2015, 8, 3, 18, 0),\n", " datetime.datetime(2015, 8, 3, 21, 0),\n", " datetime.datetime(2015, 8, 4, 0, 0),\n", " datetime.datetime(2015, 8, 4, 3, 0),\n", " datetime.datetime(2015, 8, 4, 6, 0),\n", " datetime.datetime(2015, 8, 4, 9, 0),\n", " datetime.datetime(2015, 8, 4, 12, 0),\n", " datetime.datetime(2015, 8, 4, 15, 0),\n", " datetime.datetime(2015, 8, 4, 18, 0),\n", " datetime.datetime(2015, 8, 4, 21, 0),\n", " datetime.datetime(2015, 8, 5, 0, 0),\n", " datetime.datetime(2015, 8, 5, 3, 0),\n", " datetime.datetime(2015, 8, 5, 6, 0),\n", " datetime.datetime(2015, 8, 5, 9, 0),\n", " datetime.datetime(2015, 8, 5, 12, 0),\n", " datetime.datetime(2015, 8, 5, 15, 0),\n", " datetime.datetime(2015, 8, 5, 18, 0),\n", " datetime.datetime(2015, 8, 5, 21, 0),\n", " datetime.datetime(2015, 8, 6, 0, 0),\n", " datetime.datetime(2015, 8, 6, 3, 0),\n", " datetime.datetime(2015, 8, 6, 6, 0),\n", " datetime.datetime(2015, 8, 6, 9, 0),\n", " datetime.datetime(2015, 8, 6, 12, 0),\n", " datetime.datetime(2015, 8, 6, 15, 0),\n", " datetime.datetime(2015, 8, 6, 18, 0),\n", " datetime.datetime(2015, 8, 6, 21, 0),\n", " datetime.datetime(2015, 8, 7, 0, 0),\n", " datetime.datetime(2015, 8, 7, 3, 0),\n", " datetime.datetime(2015, 8, 7, 6, 0),\n", " datetime.datetime(2015, 8, 7, 9, 0),\n", " datetime.datetime(2015, 8, 7, 12, 0),\n", " datetime.datetime(2015, 8, 7, 15, 0),\n", " datetime.datetime(2015, 8, 7, 18, 0),\n", " datetime.datetime(2015, 8, 7, 21, 0),\n", " datetime.datetime(2015, 8, 8, 0, 0),\n", " datetime.datetime(2015, 8, 8, 3, 0),\n", " datetime.datetime(2015, 8, 8, 6, 0),\n", " datetime.datetime(2015, 8, 8, 9, 0),\n", " datetime.datetime(2015, 8, 8, 12, 0),\n", " datetime.datetime(2015, 8, 8, 15, 0),\n", " datetime.datetime(2015, 8, 8, 18, 0),\n", " datetime.datetime(2015, 8, 8, 21, 0),\n", " datetime.datetime(2015, 8, 9, 0, 0)]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dates2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok, so there is a problem with how I was reading the date in the text file...." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(735807.0, 735813.0)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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oyMWStjaz1jz4Op0AV+QKQdaqlUVxrAHAVOB3wLW5+pWiNS6XAhYr/hWwf2TR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\n0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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grid_b = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "\n", "fig,axs= plt.subplots(1,2,figsize=(10,5))\n", "ax=axs[0]\n", "axm=axs[1]\n", "date = datetime.datetime(2015,7,20)\n", "\n", "#Hycom\n", "iss = np.arange(1934,1920,-1)\n", "jss = np.arange(1661,1665)\n", "f = nc.Dataset(url)\n", "ssh = f.variables['ssh']\n", "time = f.variables['time']\n", "dates = nc.num2date(time[:],time.units)\n", "lat = f.variables['lat']\n", "lon=f.variables['lon']\n", "for i,j in zip(iss,jss):\n", " #filename = read_url(date,i,j) read website\n", " ax.plot(dates,ssh[:,0,j,i],label='Hycom')\n", " axm.plot(lon[i]-360,lat[j],'o')\n", "viz_tools.plot_coastline(axm,grid_b,coords='map')\n", "\n", "\n", "#Neah Bay forecast\n", "filename = '/ocean/nsoontie/MEOPAR/sshNeahBay/txt/sshNB_2015-07-29_21.txt'\n", "NBdata = residuals._load_surge_data(filename)\n", "surge, dates = residuals._retrieve_surge(NBdata, datetime.datetime(2015,7,29))\n", "ax.plot(dates[:],surge[:],label = 'Neah Bay')\n", "\n", "# Neah Bay observations\n", "obs = figures.get_NOAA_wlevels(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '31-Jul-2015')\n", "tides = figures.get_NOAA_tides(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '31-Jul-2015')\n", "\n", "res = residuals.calculate_residual(obs.wlev, obs.time, tides.pred, tides.time)\n", "ax.plot(obs.time,res,label='observation')\n", "\n", "\n", "axm.set_xlim([-125.5,-124])\n", "axm.set_ylim([48,49])\n", "ax.legend(loc=0)\n", "ax.grid()\n", "fig.autofmt_xdate()\n", "ax.set_xlim([datetime.datetime(2015,7,28),datetime.datetime(2015,8,3)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hycom forecast slighlty better than NOAA Jul 30/31, but everthing is small\n", "* July 30 forecast gives forecast for July 30 and nowards. " ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "date = '20150731'\n", "url = ('http://nomads.ncep.noaa.gov:9090/dods/rtofs/rtofs_global{}/rtofs_glo_2ds_forecast_3hrly_diag'.format(date))\n", "f = nc.Dataset(url)\n", "ssh=f.variables['ssh']\n", "time = f.variables['time']\n", "dates=nc.num2date(time[:],time.units)\n", "lon=f.variables['lon']" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(735807.0, 735813.0)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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gl5OdOelrukJdU2kH4C3gN6TXkc6Jtrccs9VWL114+ula1Lr1fhYE81Wq1VSqTWOHXvLE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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grid_b = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "\n", "fig,axs= plt.subplots(1,2,figsize=(10,5))\n", "ax=axs[0]\n", "axm=axs[1]\n", "date = datetime.datetime(2015,7,20)\n", "\n", "#Hycom\n", "iss = np.arange(1934,1920,-1)\n", "jss = np.arange(1661,1665)\n", "f = nc.Dataset(url)\n", "ssh = f.variables['ssh']\n", "time = f.variables['time']\n", "dates = nc.num2date(time[:],time.units)\n", "lat = f.variables['lat']\n", "lon=f.variables['lon']\n", "for i,j in zip(iss,jss):\n", " #filename = read_url(date,i,j) read website\n", " ax.plot(dates,ssh[:,0,j,i],label='Hycom')\n", " axm.plot(lon[i]-360,lat[j],'o')\n", "viz_tools.plot_coastline(axm,grid_b,coords='map')\n", "\n", "\n", "#Neah Bay forecast\n", "filename = '/ocean/nsoontie/MEOPAR/sshNeahBay/txt/sshNB_2015-07-30_21.txt'\n", "NBdata = residuals._load_surge_data(filename)\n", "surge, dates = residuals._retrieve_surge(NBdata, datetime.datetime(2015,7,29))\n", "ax.plot(dates[:],surge[:],label = 'Neah Bay')\n", "\n", "# Neah Bay observations\n", "obs = figures.get_NOAA_wlevels(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '31-Jul-2015')\n", "tides = figures.get_NOAA_tides(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '31-Jul-2015')\n", "\n", "res = residuals.calculate_residual(obs.wlev, obs.time, tides.pred, tides.time)\n", "ax.plot(obs.time,res,label='observation')\n", "\n", "\n", "axm.set_xlim([-125.5,-124])\n", "axm.set_ylim([48,49])\n", "ax.legend(loc=0)\n", "ax.grid()\n", "fig.autofmt_xdate()\n", "ax.set_xlim([datetime.datetime(2015,7,28),datetime.datetime(2015,8,3)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Jul 31 forecast matches well with NOAA in first part of day. Match with observations is ok...\n", "* July 31 forecast is for July 31 and onwards" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#HYCOM Nowcast" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [ "date = '20150730'\n", "url = ('http://nomads.ncep.noaa.gov:9090/dods/rtofs/rtofs_global{}/rtofs_glo_2ds_nowcast_3hrly_diag'.format(date))\n", "f = nc.Dataset(url)\n", "ssh=f.variables['ssh']\n", "time = f.variables['time']\n", "dates=nc.num2date(time[:],time.units)\n", "lon=f.variables['lon']" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(735807.0, 735813.0)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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3YnS9AUN5/77RPH3doAnVQtt+qXZVcJ5U2VIptlaonf2AlkA7fv9Desoj1wjEnbjqlHHz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\nsrKyshLV/wOaE+dWeaq3AAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grid_b = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "\n", "fig,axs= plt.subplots(1,2,figsize=(10,5))\n", "ax=axs[0]\n", "axm=axs[1]\n", "date = datetime.datetime(2015,7,20)\n", "\n", "#Hycom\n", "iss = np.arange(1934,1920,-1)\n", "jss = np.arange(1661,1665)\n", "f = nc.Dataset(url)\n", "ssh = f.variables['ssh']\n", "time = f.variables['time']\n", "dates = nc.num2date(time[:],time.units)\n", "lat = f.variables['lat']\n", "lon=f.variables['lon']\n", "for i,j in zip(iss,jss):\n", " #filename = read_url(date,i,j) read website\n", " ax.plot(dates,ssh[:,0,j,i],label='Hycom')\n", " axm.plot(lon[i]-360,lat[j],'o')\n", "viz_tools.plot_coastline(axm,grid_b,coords='map')\n", "\n", "\n", "#Neah Bay forecast\n", "filename = '/ocean/nsoontie/MEOPAR/sshNeahBay/txt/sshNB_2015-07-30_21.txt'\n", "NBdata = residuals._load_surge_data(filename)\n", "surge, dates = residuals._retrieve_surge(NBdata, datetime.datetime(2015,7,29))\n", "ax.plot(dates[:],surge[:],label = 'Neah Bay')\n", "\n", "# Neah Bay observations\n", "obs = figures.get_NOAA_wlevels(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '30-Jul-2015')\n", "tides = figures.get_NOAA_tides(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '30-Jul-2015')\n", "\n", "res = residuals.calculate_residual(obs.wlev, obs.time, tides.pred, tides.time)\n", "ax.plot(obs.time,res,label='observation')\n", "\n", "\n", "axm.set_xlim([-125.5,-124])\n", "axm.set_ylim([48,49])\n", "ax.legend(loc=0)\n", "ax.grid()\n", "fig.autofmt_xdate()\n", "ax.set_xlim([datetime.datetime(2015,7,28),datetime.datetime(2015,8,3)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hycom nowcast is not an observation but doesnt' look bad.\n", "\n", "* Accessing July 30 nowcast gives data for July 28-29" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [], "source": [ "date = '20150731'\n", "url = ('http://nomads.ncep.noaa.gov:9090/dods/rtofs/rtofs_global{}/rtofs_glo_2ds_nowcast_3hrly_diag'.format(date))\n", "f = nc.Dataset(url)\n", "ssh=f.variables['ssh']\n", "time = f.variables['time']\n", "dates=nc.num2date(time[:],time.units)\n", "lon=f.variables['lon']" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(735807.0, 735813.0)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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OUNVR+I0Kj6nqAcBsEdkyHLYV8E6a6W8B40Skr4gIsA3+75hhGEZGStEjtwkwW1U/BBCR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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "grid_b = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "\n", "fig,axs= plt.subplots(1,2,figsize=(10,5))\n", "ax=axs[0]\n", "axm=axs[1]\n", "date = datetime.datetime(2015,7,20)\n", "\n", "#Hycom\n", "iss = np.arange(1934,1920,-1)\n", "jss = np.arange(1661,1665)\n", "f = nc.Dataset(url)\n", "ssh = f.variables['ssh']\n", "time = f.variables['time']\n", "dates = nc.num2date(time[:],time.units)\n", "lat = f.variables['lat']\n", "lon=f.variables['lon']\n", "for i,j in zip(iss,jss):\n", " #filename = read_url(date,i,j) read website\n", " ax.plot(dates,ssh[:,0,j,i],label='Hycom')\n", " axm.plot(lon[i]-360,lat[j],'o')\n", "viz_tools.plot_coastline(axm,grid_b,coords='map')\n", "\n", "\n", "#Neah Bay forecast\n", "filename = '/ocean/nsoontie/MEOPAR/sshNeahBay/txt/sshNB_2015-07-30_21.txt'\n", "NBdata = residuals._load_surge_data(filename)\n", "surge, dates = residuals._retrieve_surge(NBdata, datetime.datetime(2015,7,29))\n", "ax.plot(dates[:],surge[:],label = 'Neah Bay')\n", "\n", "# Neah Bay observations\n", "obs = figures.get_NOAA_wlevels(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '30-Jul-2015')\n", "tides = figures.get_NOAA_tides(figures.SITES['Neah Bay']['stn_no'], '28-Jul-2015', '30-Jul-2015')\n", "\n", "res = residuals.calculate_residual(obs.wlev, obs.time, tides.pred, tides.time)\n", "ax.plot(obs.time,res,label='observation')\n", "\n", "\n", "axm.set_xlim([-125.5,-124])\n", "axm.set_ylim([48,49])\n", "ax.legend(loc=0)\n", "ax.grid()\n", "fig.autofmt_xdate()\n", "ax.set_xlim([datetime.datetime(2015,7,28),datetime.datetime(2015,8,3)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Accessing July 31 nowcast gives data for July 29 and 30." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#Temperature and salinty" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": true }, "outputs": [], "source": [ "date = '20150730'\n", "url = ('http://nomads.ncep.noaa.gov:9090/dods/rtofs/rtofs_global{}/rtofs_glo_3dz_nowcast_6hrly_reg2'.format(date))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "f=nc.Dataset(url)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "root group (NETCDF3_CLASSIC data model, file format UNDEFINED):\n", " title: 3D Volume 6hrly Region 2 00Z28jul2015: Nowcast downloaded Jul 30 05:12 UTC\n", " Conventions: COARDS\n", "GrADS\n", " dataType: Grid\n", " history: Thu Jul 30 05:13:18 GMT 2015 : imported by GrADS Data Server 2.0\n", " dimensions(sizes): lat(1600), lev(40), lon(1000), time(9)\n", " variables(dimensions): float64 \u001b[4mtime\u001b[0m(time), float64 \u001b[4mlev\u001b[0m(lev), float64 \u001b[4mlat\u001b[0m(lat), float64 \u001b[4mlon\u001b[0m(lon), float32 \u001b[4msalinity\u001b[0m(time,lev,lat,lon), float32 \u001b[4mtemperature\u001b[0m(time,lev,lat,lon), float32 \u001b[4mu\u001b[0m(time,lev,lat,lon), float32 \u001b[4mv\u001b[0m(time,lev,lat,lon)\n", " groups: " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [], "source": [ "sal=f.variables['salinity']\n", "lon=f.variables['lon']\n", "lat=f.variables['lat']\n", "dep=f.variables['lev']" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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JRwNfBw6dbYfJNsgZjrYyI2Kh2tZj/W1TcPvUoKU9AFwFYPsWSTslPc/2Y712mPzAGxEx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\n8EZE1Oz/A5ddqjumzexAAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(lon[:], lat[:],sal[1,0,:,:])\n", "plt.axis([-125,-123,48,50])\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [], "source": [ "iss = np.where(np.logical_and(lon[:]<-124.5, lon[:] > -125))\n", "jss = np.where(np.logical_and(lat[:] > 48.4, lat[:] < 48.6))" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(array([1011, 1012, 1013, 1014, 1015]),)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "jss" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(array([412, 413, 414, 415, 416, 417]),)" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "iss" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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WMB54S0QcJulQ4MfAvqPt0N0aqWF7T6aZjVUDNdY/3A+P9Dda2hrgVoCIeEjSVklvi4hX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\nAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(lon[:], lat[:],sal[1,0,:,:])\n", "plt.axis([-125,-123,48,50])\n", "plt.colorbar()\n", "\n", "for i,j in zip(iss[0][0:-1],jss[0][::-1]+1):\n", " plt.plot(lon[i],lat[j],'o')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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+kqwH1rf2BSO4O1FVDyY5pqruT7IK+GqS5wJXAO+oqh1JzgJOo3mmelLTWuNN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\nYNAri7avRBZjxyergG8M2Hm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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,axs = plt.subplots(1,2,figsize=(15,5))\n", "axs[1].pcolormesh(lon[:], lat[:],sal[1,0,:,:])\n", "axs[1].set_xlim([-125.5,-123])\n", "axs[1].set_ylim([48,50])\n", "\n", "new_sal = np.ma.zeros((40,5))\n", "new_lat=np.zeros(5)\n", "count=0\n", "for i,j in zip(iss[0]-1,jss[0][::-1]+1):\n", " new_sal[:,count] = sal[1,:,j,i]\n", " new_lat[count] = lat[j]\n", " count=count+1\n", " axs[1].plot(lon[i],lat[j],'o')\n", "mesh=axs[0].pcolormesh(new_lat, dep[:],new_sal)\n", "axs[0].set_ylim([300,0])\n", "plt.colorbar(mesh,ax=axs[0])\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Is it possible to interpolate this product onto our bcs?" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[32, 34, 300, 0]" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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hpiwcdwGvA8kCdTcRtvPdkLrFOcreGyVZ5NleRNQsESqUplUHXvAtZfDo99lV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\nP5h/7KMj44tNbjqEIQ8Dw4AFzZqxt1atwTflyXO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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i in iss[0]:\n", " for j in jss[0]:\n", " plt.plot(sal[1,:,j,i],dep[:])\n", "plt.axis([32,34,300,0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I don't think this is getting as fresh as our model is in the surface. \n", "\n", "Does this model account for river discharge? Probably not. \n", "\n", "Maybe it could be useful for the deep water an upwelling? But it isn't very deep..." ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(lon[:], lat[:],sal[1,0,:,:])\n", "plt.axis([-125,-123,48,50])\n", "plt.colorbar()\n", "\n", "for i in iss[0]:\n", " for j in jss[0]:\n", " plt.plot(lon[i],lat[j],'o')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#Next\n", "\n", "* More systematic comparison of HYCOM forecasts with observations - Perhaps 3 houlry averaged obs for fairness?\n", "* Decide about HYCOM nowcasts - is it worth using those when we could use direct observations? But we don't have a full observation for our nowcast system." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }